Majdi Bou-Matar's Impact: An Examination of the IMPACT Festival and its Survival in the Waterloo Region
Bibliographic record
Abstract
The IMPACT Festival is an event dedicated to theatre that centralizes marginalized voices to address social issues, and in the process, works to constitute a vibrant intercultural community. At once a festival, a conference, and an opportunity for artists, scholars, and other cultural commentators—from international to local—to meet and engage with one another, IMPACT has happened biannually in Kitchener, Ontario since 2009. Yet despite its award-winning status among scholars and artists, the IMPACT Festival has struggled to be embraced by either the City of Kitchener or the citizens of the Region of Waterloo. Beginning with interviews with local theatre creators, and drawing on the intercultural analysis of Ric Knowles and Bruno Latour, among others, this article is an attempt to understand why the IMPACT Festival has encountered obstacles to sustainable success in its home town.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.029 | 0.016 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".